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EVALUATION OF SELF CONSOLIDATING CONCRETE AND CLASS IV
CONCRETE FLOW IN DRILLED SHAFTS – PART 1
BDV25 TWO977-25
Task 3 Deliverable – Corrosion Potential Evaluations
Submitted to
The Florida Department of Transportation
Research Center
605 Suwannee Street, MS30
Tallahassee, FL 32399
Submitted by
Sarah J. Mobley, P.E., Doctoral Candidate
Kelly M. Costello, E.I., Doctoral Candidate
and
Principal Investigators
Gray Mullins, Ph.D., P.E., Professor, PI
Abla Zayed, Ph.D., Professor, Co-PI
Department of Civil and Environmental Engineering
University of South Florida
4202 E. Fowler Avenue, ENB 118
Tampa, FL 33620
(813) 974-5845
July, 2017 to December, 2017
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Preface
This deliverable is submitted in partial fulfillment of the requirements set forth and agreed upon
at the onset of the project and indicates a degree of completion. It also serves as an interim report
of the research progress and findings as they pertain to the individual task-based goals that
comprise the overall project scope. Herein, the FDOT project manager’s approval and guidance
are sought regarding the applicability of the intermediate research findings and the subsequent
research direction. The project tasks, as outlined in the scope of services, are presented below.
The subject of the present report is highlighted in bold.
Task 1. Literature Review (pages 3-90)
Task 2a. Exploratory Evaluation of Previously Cast Lab Shaft Specimens (page 91-287)
Task 2b. Field Exploratory Evaluation of Existing Bridges with Drilled Shaft Foundations
Task 3. Corrosion Potential Evaluations
Task 4. Porosity and Hydration Products Determinations
Task 5. Rheology Modeling and Testing
Task 6. Effects of Construction Approach
Task 7. Reporting: Draft and Final Report
The proposed study will culminate with a comprehensive final report describing all aspects of the
study. This interim report is also intended to serve as a living draft of what will ultimately be the
final report. As such, all previously submitted interim reports to date will be included for
completeness (in greyed-out font) but may contain changes based on any new findings; this is
especially applicable to the Literature Review component.
In looking forward to the final document, the updated corrosion related information from the
Task 2a submittal has been included in this submittal.
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5 Chapter Five: Corrosion Potent ial Evaluat ions (Task 3 Del iverable)
Corrosion is most often defined as the destruction of a metallic material due to a reaction with its
environment. Practically all environments are corrosive to some degree, but this research focuses
on corrosion in wet environments. Uniform corrosion in wet environments accounts for a large
majority of all corrosion and usually involves aqueous solutions or electrolytes. Uniform
corrosion is characterized by a chemical or electrochemical reaction that occurs over a large area.
This reaction thins the metal to a point of eventual failure. Overall, corrosion represents the
greatest destruction of metal on a tonnage basis, but this does not raise major industry concerns
because uniform corrosion is both predictable and preventable in most instances (Fontana, 1967).
While corrosion resistance is often dictated by concrete quality and cover thickness, the presence
of possible pathways leading directly to the reinforcing steel is of great importance, yet rarely
addressed in design. This Task focuses on the electrochemical properties of 36 lab-cast drilled
shaft specimens constructed over a four-year period.
The approach was multifaceted: (1) establish electrical continuity in the reinforcement system,
(2) conduct surface potential measurements, and (3) assess the potential over time while
exposing the shaft surface to a chloride solution.
5.1 Corrosion Rate Expressions
Corrosion rates have been expressed by several means throughout literature, such as milligrams
per square centimeter per day, grams per square inch per hour and percent weight loss. None of
these give any indication of penetration. Mils per year (mpy) is the expression most commonly
used in engineering to illustrate the rate in terms of weight loss or thinning of a structural piece.
The formula is as follows:
𝑚𝑝𝑦 =534𝑊
𝐷𝐴𝑇
where W weight loss (g)
D density of specimen (g/cm3)
A area of specimen (in2)
T exposure time (hr)
This expression uses whole numbers, which are easily handled and it can be used to predict the
lifespan of a given structural component.
5.2 Corrosion Lifespan Analysis
To remain active, the corrosion process requires oxygen, moisture, and a conductive electrolyte.
Commonly, this electrolyte is saltwater, which leads to chloride-induced corrosion (sulfates can
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also induce corrosion but the effect is comparatively insignificant when chlorides are present). If
one of the three corrosion components is absent, the chemical reaction will stall until all elements
are present. Consequently, the serviceability of a drilled shaft and the resultant life expectancy is
dependent on the surrounding environment, isolation (concrete cover thickness), concrete
quality, and the ability of the encased reinforcement to withstand aggressive environments.
These parameters can be defined as:
𝐶𝑠 Concentration of chloride ions at the concrete surface (environment)
𝑥𝑐𝑜𝑣𝑒𝑟 Concrete cover (isolation) D Apparent diffusion coefficient (concrete quality)
𝐶𝑇 Chloride threshold at which corrosion initiates (steel type dependent)
The amount of cementitious material in the concrete mix design, known as the cement factor
(CF), should also be included, along with the presence of any cracks. For the case of drilled
shafts, mattressing, or channeling as described in Chapter 2, should also be considered.
In a salt water environment, chlorides accumulate on the surface of a structure. As previously
stated, the corrosion process requires that chlorides, moisture, and oxygen be present at the steel
surface. When a structure is new, chlorides must diffuse through the concrete cover to reach the
surface of the steel. This diffusion time can be calculated using the parameters defined above
(Sagüés, 2002; Mullins, et al, 2009). The time that it takes for the chloride concentration to reach
a threshold value at the concrete-steel interface, after which corrosion begins to occur, is known
as the corrosion initiation time (𝑡𝑖), and it represents the most critical designable aspect of corrosion control. Once corrosion begins, corrosion products begin forming on the surface of the
reinforcing steel, increasing the volume since the reaction products have a larger total volume
than the reactants. This volume increase can initiate cracking that may propagate to the concrete
surface and compromise the integrity of the structural element.
The traditional school of thought assumes that structures in a fully submerged environment are
sufficiently separated from an oxygen source as to prohibit corrosion, recent studies have shown
that this is not always the case and that under water structures can show signs of highly localized
corrosive behavior (Walsh, 2016). Conservatively and for the sake of simplicity, the corrosion
free life expectancy of all reinforced concrete structures can be simply determined using 𝒕𝑖.
5.2.1 Corrosion Initiation Time
The corrosion initiation time is commonly computed using an error function wherein Cs, xcover,
D, and CT are all inputs.
𝐶𝑇 = 𝐶𝑠(1 − 𝑒𝑟𝑓𝑥
2√𝐷𝑡𝑖)
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A convenient method of solving for ti is to plot the function, with the ratio CT/Cs (dimensionless)
on the y-axis and reading down to determine the x-axis value. The x-axis is expressed in the
following form:
𝑥 − 𝑎𝑥𝑖𝑠 𝑣𝑎𝑙𝑢𝑒 = 𝑡𝑖4𝐷/𝑥2
5.2.2 Chloride Threshold
Chloride threshold (CT) for a plain steel rebar can be approximated to be 0.004 times the Cement
Factor (Sagüés, 2002). For a typical drilled shaft concrete mix design, there is a minimum of
600pcy of cementitious material (CF=600), which results in the following calculation for the
chloride ion concentration needed to initiate corrosion at the surface of the steel:
CT=0.004(600)=2.4pcy
5.2.3 Surface Chloride Concentration
The driving force for chloride diffusion into the concrete is dictated by the chloride concentration
at the concrete surface, Cs. For a soil with a chloride content of 1200 ppm (2.0pcy) the CT/Cs
ratio would be greater than one, which is out of the range of the chart (Figure 2.24) and therefore
non-corrosive. When the CT/Cs is that high, the 𝑡𝑖4𝐷/𝑥2 expression can be conservatively
assumed to be 100.
5.2.4 Apparent Diffusion Coefficient
Laboratory studies have shown that the apparent diffusion coefficient (D) for concrete mixes
containing fly ash ranges from 1x10-8
cm/s to 7x10-8
cm/s with an average value of 2x10-8
cm/s
(Sagüés, 2002). Assuming worst case scenario values of D=1x10-8
cm/s and a concrete cover of
7.5 cm (3 in), the resulting time to initial corrosion works out to be 450 years. This is well
outside of the anticipated design life of a structure (50-100 years.) This value corresponds to dry
structures with mild soil conditions. Placing the structure in a salt water marine environment
reduces the CT/Cs value to 0.1, which results in an initiation time of 16 years for 3 inches of
cover. If the cover thickness were doubled to 6 inches, the initiation time would be resultantly
quadrupled to 64 years.
5.3 Anomalies and Corrosion Potential
Design lifespan computations assume a contiguous concrete cover. As noted in Chapter 3, field
and laboratory observations have shown reflective quilting (laitance channel formation) in shaft
specimens constructed in wet conditions, where concrete is placed as a slurry using a tremie.
Quilting introduces the possibility of direct ground or sea water access to the reinforcing cage,
thus negating the afforded protection that the above calculations represent, along with the
calculations themselves. This in essence results in a zero cover thickness. Identifying the effects
of quilting or other surface anomalies forms the basis for much of the efforts in this Task.
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5.4 Establishing Electrical Continuity
Corrosion in reinforced concrete is electrochemical in nature. The corrosion process involves the
flow of electrons from an anodic site to a cathodic site on the reinforcing steel system. Corrosion
requires four basic elements: anode, cathode, electrolyte and metallic path. The anode is the site
of the corrosion and constitutes the source of current flow. The cathode is corrosion free and
receives the flow of current. The electrolyte is a medium capable of conducting electrical current.
In reinforced concrete, the fluid filled pores serve as the electrolyte. The metallic path is the
connection between the anode and the cathode which allows the return of current. In the simplest
terms, cathodic protection is the process of converting anodic sites to cathodic sites through the
application of applied current. Establishing a metallic path, hereafter referred to as electrical
continuity as per industry nomenclature, is essential to this process.
Many organizations published cathodic protection installation guidelines that state electrical
continuity must exist. However, specifications regarding a procedure to establish continuity are
vague, varied, or non-existent. Literature suggests that continuity guidelines roughly fall into two
general categories: undefined and poorly defined. Undefined guidelines state that continuity is
required without referencing a procedure (Sagues, 1995; NACE,2007; NACE, 2016). Poorly
defined guidelines require that continuity be established through the testing of electric potential
(SIKA, 2010; DTI, 1981; Kentucky, 2011; Clear, 1993). This test makes voltage measurements
between two rebar in an effort to assess the electrical connectivity and where a 1mV threshold is
used to delineate when connectivity exists (or not). Mutual resistance is a similar test but where a
1Ohm threshold is used.
The Strategic Highway Research Program published the New Cathodic Protection Installation
guide (Clear, 1993), which references an AASHTO standard that was still in draft form
(AASHTO, 1994). The referenced specification was mislabeled by Clear as AASHTO TF29-
650.37 as it was only a draft and an incomplete document. Today it can only be found in
AASHTO TF29-650.30.15 from the published Task Force 29 report, Guide to Specifications for
Cathodic Protection of Concrete Bridge Decks. This volume, currently out of print, established
the following requirements for electrical continuity: “Electrical continuity exists between
reinforcing bars or between reinforcing bars and other metal items when the millivolt difference
between them is no more than 1.0 mV, the DC resistance is less than 1 ohm and the DC
resistance measured in the forward and reverse directions does not exceed 1 ohm,” (AASHTO,
1994). Though Clear states that the AASHTO procedure was utilized to establish electrical
continuity, no indication was given where resistance measurements were taken, and relied on
millivolt data to support assertions of continuity. Nevertheless, Clear (1993) may be the only
work that cites the AASHTO recommended procedure.
This inconsistency in specifications creates uncertainty regarding a satisfactory practice.
Further, few procedures have been established, and there are no justifications given for a
particular practice (e.g. the rationale for less than 1mV potential difference). This section
describes results of an extensive series of experiments that were performed to determine the
statistical validity of methods used to establish electrical continuity and provide justification for
implementation of a common practice.
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5.4.1 Experimental Approach
Mutual potential and mutual resistance tests were performed on all vertical reinforcements for
each of twenty-three, 42-in. diameter, 24-in. tall simulated drilled shaft specimens. Each
specimen included seven vertical steel reinforcing bars (rebar) connected with horizontal
stirrups encased in concrete (Figure 5.1). Prior to testing, the exposed end of each vertical
rebar was drilled, tapped, and a stainless-steel screw was installed to establish a satisfactory
electrical connection (Figure 5.2). The rebar on each shaft were labeled and testing was
completed between all bar combinations (21 combinations per shaft).
Figure 5.1 Reinforcement cage prior to concrete placement (left) Completed shaft specimen
(right).
Figure 5.2 Stainless steel connection.
Mutual potential was measured using a standard multimeter on the 2000mV setting, and where
the positive and negative leads were connected to two different rebar. This wiring arrangement causes
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one rebar to serve as a working electrode and the other to serve as a reference electrode, the
reading on the multimeter is the difference in potential between the two connection points.
Mutual resistance was measured using a Nilsson meter. A Nilsson meter is a four pin,
alternating current, null balancing ohmmeter customarily used to measure resistivity in soils. For
the purpose of this test, the meter was used in a two-pin configuration (Figure 5.3), where
once again the two leads were attached to different rebar for all 21 combinations per specimen.
The Nilsson meter works by generating a low voltage current between the C1 and C2 posts.
Figure 5.3 Nilsson meter two pin configuration.
The detector senses a voltage drop between the two posts, compares it to internal resistors, and
indicates a difference on the null detector. When the null detector is balanced using the range
switch and the dial, the resistance in ohms is the dial reading multiplied by the range switch
position. This method was chosen over DC resistance because of the increased
stability provided in the presence of an electrolyte. Mutual potential and mutual
resistance tests were conducted in immediate succession to ensure similarity in testing
conditions (Figure 5.4).
Figure 5.4 Mutual potential/ mutual resistance wiring diagram.
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The resistance that occurs when two sections of rebar have a passive connection was used as the
threshold for continuity. In order to determine this, one section of rebar was laid on top of
another on an inert surface. The amount of overhang was kept at 4 inches to keep the force
between the bars consistent. Hose clamps were used to establish a connection port on each bar
and then alligator clips were used to connect those ports to the positive and negative inputs on a
DC multimeter (Figure 5.5). A total of 30 DC resistance readings were taken at varied locations
along the bottom rebar. The absence of an electrolyte permitted the use of DC resistance.
Figure 5.5 Rebar to rebar resistance wiring diagram.
The passive rebar to rebar DC resistance readings varied from 0 to 96 Ω. A median resistance
of 29 Ω was determined using a standard distribution curve (Figure 5.6). When determining a
realistic resistance threshold, it is critical to consider the number of rebar connections between
the test points as this will affect the upper limit substantially. The baseline used in this study is
conservatively set at 100 Ω because the potential readings below 100 Ω are consistently banded
within the threshold for connectivity and the highest passive rebar to rebar resistance is below
100 Ω.
Figure 5.6 The mutual potential versus mutual resistance graph.
Figure 5.7shows 483 data points from 21 resistance and 21 potential measurements for 23
subject shafts. The shafts are numbered according to the date of construction with a
parenthetical reference to the slurry type (B for bentonite, P for polymer, W for water) and
Marsh funnel viscosity. The graph displays distinct banding on both the horizontal and
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0 20 40 60 80 100
Per
cent
Dis
trib
uti
on (
%)
Resistance (W)
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vertical axis. The potential values for data points with a resistance of less than 100Ω are
within 5mV of the zero excluding four outliers. Above 100Ω the potential values form a
vertical band between zero and 135mV.
Figure 5.7: Mutual potential vs mutual resistance
When the mutual potential is graphed against the mutual resistance, the data is banded along
the zero-millivolt potential line horizontally and above 100-Ω the data is banded vertically. The
data points scattered along the potential axis between zero and five are indicative of a well-
connected system as this reading reflects a negligible potential difference. The data points above
five millivolts that are also above 100 Ω would generally indicate a poorly connected system as
they exceed the inherent resistance between two pieces of reinforcing steel and exhibit a loss in
potential across the system. The points of particular interest are the points positioned at the base
of the vertical band in the data (Figure 5.8). These points have a resistance over 100-Ω but show
negligible loss of potential.
0
20
40
60
80
100
120
140
0.1 1 10 100 1000 10000
|Po
ten
tia
l| (
mV
)
Resistance (Ω)
Shaft 1 (B40) Shaft 2 (B90) Shaft 3 (B40) Shaft 4 (B50) Shaft 5 (B90) Shaft 6 (H2O)
Shaft 7 (B30) Shaft 8 (B40) Shaft 9 (B50) Shaft 11 (P60) Shaft 12 (P60) Shaft 13 (B30)
Shaft 14 (B30) Shaft 15 (B50) Shaft 16 (P85) Shaft 17 (P85) Shaft 18 (H2O) Shaft 19
Shaft 20 Shaft 21 (B40) Shaft 22 Shaft 23 (H2O) Shaft 24 (B40)
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Figure 5.8: Data banding
The initial assumption that these high resistance, zero potential points were statistical scatter was
disproven when the sample data distribution for all points over 100 Ω was plotted against the
normal standard distribution curve for the same data range (Figure 5.9). The normal distribution
curve, created from a set of 300 randomly generated numbers, shows a 5% occurrence of points
within the -5mV to 5mV range.
0
20
40
60
80
100
120
140
0.1 1 10 100 1000 10000
|Po
ten
tia
l| (
mV
)
Resistance (Ω)
Continuous
Discontinuous
Questionable
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The sample data distribution shows that the actual percentage of points in that range is 10%
(Figure 5.10). This is twice the expected distribution meaning that there is a 50% chance that the
readings are valid and constitute connectivity and a 50% chance that the readings are erroneous
scatter and signify a discontinuous system. Without both the mutual potential and mutual
resistance data it would be difficult to accurately diagnose the system. For that reason, the
present findings support the use of both mutual potential and mutual AC resistance when
establishing electrical continuity.
Figure 5.9: Potential distribution
Figure 5.10: Statistical importance
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5.5 Multi Point Surface Mapping
Surface potential measurements are a strong indicator of active corrosion within a reinforced
concrete structure. This is performed by measuring the relative voltage potential between the
reinforcing steel and a copper-copper sulfate electrode in contact with the concrete surface
several inches away from the reinforcing steel.
Note: this process was discussed in Chapter 3 for previously cast specimens from other studies.
In this section, new data is presented for newly cast specimens.
The surface potential of each shaft specimen was mapped evenly over the surface using a
prescribed grid. A grid template was made out of single piece of 21-inch by 27-inch rubberized
plastic sheeting. A sharpened 2-inch diameter pipe was used to punch holes through the plastic
(Figure 5.11) in rows with a 3-inch center-to-center spacing in both directions (Figure 5.12). This
resulted in 80 measurement locations for each shaft. Surface potential testing was then conducted
per ASTM C876-09: Standard Test Method for Corrosion Potentials of Uncoated Reinforcing
Steel in Concrete, using a copper-copper sulfate reference electrode and a standard multi-meter.
Figure 5.11 Template Preparation Figure 5.12 Completed Template
The saturated copper-copper sulfate reference electrode was selected because it provides a stable
and reproducible potential over a temperature range of 32º to 120ºF. A wet sponge was used to
establish an electrical junction at the concrete surface by means of a low electrical resistance
liquid bridge between the concrete surface and the porous tip of the reference electrode. The
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sponge was wrapped around the tip of the reference electrode and secured with a rubber band to
ensure continuous electrical contact.
Having previously established secure electrical connection to the reinforcing steel, an alligator
clip was used to connect the steel to the positive port on the multi-meter. Similarly, the negative
or COM port was attached to the cap of the reference electrode (Figure 5.13).
Figure 5.13 Surface Potential Mapping Wiring Diagram
Figure 5.14 Surface potential testing
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Prior to commencing testing, all shafts were saturated for 24 hours or until such time as a test
measurement of corrosion potential revealed no change or fluctuation. Once saturated,
measurements were taken systematically across the 80 grid positions with the multi-meter set to
the ± 2000 millivolt range. The readings were recorded to the nearest millivolt.
5.5.1 Results
The data from Shaft 1 is shown in Table 5.1 as an example; the complete data sets for all shafts
are included in Appendix A.
A potential difference of zero signifies that no voltage is lost between the reference electrode and
the reinforcement. This is commonly used as an indicator of corrosion potential. For the purpose
of this testing method, corrosion potential was used as a diagnostic indicator of concrete quality.
Using the copper-copper sulfate potential data, the 80 values for each shaft were plotted on a
standard distribution (Figure 5.15) using a rank and percentage analysis. The median (potential at
50% ranking) or the E50 value was taken as the single point representative of each shaft for
comparative plotting purposes. This is the preferred industry approach for such evaluations.
Table 5.1: Sample surface potential data collected from shaft 1 (all shaft data in Appendix A).
Circumferential
position (in)
Vertical Position (in)
Bottom to Top
0 3 6 9 12 15 18 21
0 -266 -289 -333 -337 -313 -298 -296 -289
3 -279 -292 -316 -317 -311 -301 -300 -293
6 -290 -302 -312 -312 -308 -306 -307 -303
9 -290 -308 -315 -312 -309 -310 -308 -307
12 -307 -316 -315 -318 -317 -314 -311 -302
15 -309 -317 -319 -325 -324 -322 -320 -311
18 -314 -323 -324 -332 -330 -328 -327 -320
21 -323 -330 -330 -338 -338 -342 -331 -322
24 -327 -330 -338 -344 -345 -348 -337 -329
27 -328 -333 -338 -344 -347 -349 -338 -337
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Figure 5.15 Surface potential mapping data distribution
E50 potential data for all shafts ranged from -623mV to -155mV with a standard deviation of
91mV. A total of 25% of the test shafts had an E50 potential below -350mV, and all save one of
that 25% were constructed using mineral slurry (Table 5.2), the exception being a 46-second
polymer slurry for a self consolidating concrete sample shaft. All of the data was graphed
topographically using three-dimensional mapping software. Using a color coding system and
standardized contour spacing, the topographic surface maps illustrate the corrosion potential of
each shaft. Lighter colors denote low corrosion probability; darker colors high (Figure 5.16-
5.49). The shafts are numbered consecutively by date of construction. Additionally, the slurry
type and marsh funnel viscosity is included as a parenthetical wherein P indicated polymer, B
indicates bentonite and A indicates attapulgite mineral slurry.
Table 5.2 Comparison of all 36 shaft specimen E50 values.
Shaft # Slurry Mix E50 (mV) Shaft # Slurry Mix E50 (mV)
1 B44 4KDS -317 20 P130 4KDS -242
2 B105 4KDS -449 21 B40 4KDS -508
3 B40 4KDS -373 22 water 4KDS -250
4 B55 4KDS -443 23 water SCC -258
5 B90 4KDS -447 24 B40 SCC -425
6 Water 4KDS -155 25 A33 SCC -415
7 B30 4KDS -372 26 Water SCC -326.5
8 B40 4KDS -225 27 B41 SCC -246.5
9 B50 4KDS -383 28 P59 SCC -268.5
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
Dis
trib
uti
on
(%
)
Potential Difference (mV)
CuCuSO4 Grid Testing Shaft 1
50th Percentile
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Shaft # Slurry Mix E50 (mV) Shaft # Slurry Mix E50 (mV)
11 P65 4KDS -285 29 P46 SCC -410.5
12 P66 4KDS -190 30 B30 SCC -410
13 B30 4KDS -289 31 P98 4KDS -303.5
14 B30 4KDS -282 32 Water 4KDS -279
15 B56 4KDS -335 33 B39 4KDS -221
16 P85 4KDS -279 34 A39 4KDS -267.5
17 P85 4KDS -300 35 A200+ 4KDS -371.5
18 Water 4KDS -293 36 P47 4KDS -279
19 P60 4KDS -243
Figure 5.16: Surface potential map Shaft 1
Figure 5.17: Surface potential map Shaft 2
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Figure 5.18: Surface potential map Shaft 3
Figure 5.19: Surface potential map Shaft 4
Figure 5.20: Surface potential map Shaft 5
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Figure 5.21: Surface potential map Shaft 6
Figure 5.22: Surface potential map Shaft 7
Figure 5.23: Surface potential map Shaft 8
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Figure 5.24: Surface potential map Shaft 9
Figure 5.25: Surface potential map Shaft 11
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Figure 5.26: Surface potential map Shaft 12
Figure 5.27: Surface potential map Shaft 14
Figure 5.28: Surface potential map Shaft 15
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Figure 5.29: Surface potential map Shaft 16
Figure 5.30: Surface potential map Shaft 17
Figure 5.31: Surface potential map Shaft 18
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Figure 5.32: Surface potential map Shaft 19
Figure 5.33: Surface potential map Shaft 20
Figure 5.34: Surface potential map Shaft 21
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Figure 5.35: Surface potential map Shaft 22
Figure 5.36: Surface potential map Shaft 23
Figure 5.37: Surface potential map Shaft 24
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Figure 5.38: Surface potential map Shaft 25
Figure 5.39: Surface potential map Shaft 26
Figure 5.40: Surface potential map Shaft 27
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Figure 5.41: Surface potential map Shaft 28
Figure 5.42: Surface potential map Shaft 29
Figure 5.43: Surface potential map Shaft 30
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Figure 5.44: Surface potential map Shaft 31
Figure 5.45: Surface potential map Shaft 32
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Figure 5.46: Surface potential map Shaft 33
Figure 5.47: Surface potential map Shaft 34
Figure 5.48: Surface potential map Shaft 35 (blank spots were not testable)
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Figure 5.49: Surface potential map Shaft 36
5.6 Open Cell Potential Testing
The following testing procedure was developed in order to approximate long term corrosion
potential in a laboratory setting. Acrylic tanks were affixed to the surface of the shafts and
equipped with temperature sensors and titanium reference electrodes. The tanks were first filled
with clean water and then a chloride solution and the potential difference was monitored for a
total of 14 days.
Tanks were built out of 12-inch long sections of 8-inch diameter clear acrylic pipe. A rotary
machine was used to cope one end of each pipe section This allowed the tanks to sit flush on the
surface of the shaft (Figure 5.50). The tanks were sealed to the shafts using architectural grade
silicon and allowed to cure for 24 hours prior to charging the system with water (Figure 5.51).
Surface deterioration on several of the shafts prevented a watertight seal between the tank and
the concrete resulting in their exclusion from this portion of the testing protocol. The filled tanks
were left to sit for a minimum of 2 days prior to initial data collection to allow for surface
Figure 5.50 Milling end of tank (left)tank fit on shaft surface (right)
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saturation.
Figure 5.51 Tanks installed on shafts
Titanium reference electrodes were constructed for continuous potential difference data
collection. Sections approximately four inches long were cut from a rod of activated titanium.
The ends were then filed to reveal bare metal and create a level surface. Taking care to protect
the surface coating, the rods were wrapped in cardboard and clamped into a lathe for drilling
(Figure 5.52). A hole approximately ¼-inch deep was drilled into one end of each rod (Figure
5.53) using a 1/16th inch cobalt-coated drill bit.
Figure 5.52 Drilled titanium rod Figure 5.53 Drilled out titanium rod
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Chromium-nickel alloy wire with a Teflon coated insulation was used to connect the electrode to
the data logger (Figure 5.54). The properties of the metal in the wire and the metal in the
electrode necessitated the use of a mechanical connection. The wire coating was stripped back to
reveal ½ inch of bare metal (Figure 5.55). The wire was then folded back on itself and inserted
into the drilled end of the titanium rod and the connection was crimped using pliers to insure
connection stability.
Figure 5.54 Connection wire Figure 5.55 Wire pre installation
The reference electrodes were submerged in the tanks and suspended one inch from the shaft
surface. Care was taken to ensure that the electrodes were parallel and in line with the encased
vertical reinforcement. Shaft potential readings were taken with the positive lead attached to the
interconnected exposed reinforcement and the negative lead attached to the titanium electrode as
previously described. A twisted-wire-pair thermocouple was also placed in each tank, taking care
to separate the two sets of wires. All exposed ends were coated to prevent metallic deterioration
(Figure 5.56). The electrode and the thermocouple wire for each shaft were attached to a
Campbell Scientific CR1000 data collection system (Figure 5.57).
-
373
Figure 5.56 Testing tank
Figure 5.57 Open cell testing wiring diagram
Each tank was calibrated daily using a copper-copper sulfate reference electrode. This was
accomplished by attaching a voltmeter to the titanium reference electrode and the calibrating
copper-copper sulfate electrode. The value was recorded along with the time of measurement.
-
374
After seven days of continuous testing, the fresh water was exchanged for salt water. Salt water
was simulated by adding aquarium salt to fresh water until the specific gravity exceeded 1.028 as
measured by a hydrometer (Figure 5.58). Testing and daily calibration continued for seven days
after the introduction of salts.
Figure 5.58 Hydrometer used to test specific gravity
5.6.1 Testing Details
This test has been conducted three times to date:
Test one served as the pilot study. Over a three-week period in July of 2014, data was collected
from two shafts (Table 5.4). The tanks were placed on visible surface creases and calibration
data was collected inside each tank nine times at sporadic intervals.
Table 5.4 Test one details
Test One
Test
Duration
7/2/14 7/25/14
Shafts
Tested
Shaft 7 (B30)
Shaft 11 (P65)
-
375
Test two, conducted in December of 2016, shows data from nine shafts (Table 5.5). The tanks
were placed between visible creases, and calibration data was taken daily outside of each tank on
the surface of the shaft.
Table 5.5 Test two details
Test Two
Test
Duration
12/12/16 12/21/16
Shafts
Tested
Shaft 1 (B44)
Shaft 6 (Water)
Shaft 7 (B30)
Shaft 8 (B40)
Shaft 11 (P65)
Shaft 16 (P85
Shaft 17 (P85)
Shaft 19 (P63)
Shaft 20 (P121)
Test three, conducted in November of 2017, shows data from six shafts (Table 5.6). The tanks
were placed on visible creases and calibration data was collected inside each tank daily.
Table 5.6 Test three details
Test Three
Test
Duration
11/17/17 12/1/17
Shafts
Tested
Shaft 3 (B40)
Shaft 13 (B30)
Shaft 16 (P85)
Shaft 18 (Water)
Shaft 20 (P121)
Shaft 32 (Water)
5.6.2 Results
For each test, the raw potential readings between the rebar and the titanium reference electrode
were recorded and graphed as a function of time (Figures 5.59-5.61). The red line indicates the
point when chlorides were introduced to the system. Additionally, the daily copper-copper
sulfate calibration readings were graphed over time (Tables 5.7-5.9 and Figures 5.62-5.64).
-
376
Figure 5.59: Test one raw data
-700
-600
-500
-400
-300
-200
-100
0
100
200
300
6/27/14 7/2/14 7/7/14 7/12/14 7/17/14 7/22/14 7/27/14 8/1/14
Ti P
ote
nti
al (
mV
)
Shaft 7 Shaft 11
-700
-500
-300
-100
100
300
12/12/16 12/14/16 12/16/16 12/18/16 12/20/16 12/22/16
Po
tenti
al (
mV
)
Date
Shaft 22 Water Shaft 1 B40 Shaft 8 B40 Shaft 7 B30
Shaft 11 P60 Shaft 6 Water Shaft 17 P85 Shaft 19 P60
Shaft 20 P130 Shaft 18 Water Shaft 14 B30 Shaft 16 P85
-
377
Figure 5.60: Test two raw data
Figure 5.61: Test three raw data
Table 5.7: Test one calibration data
Date Shaft 7
Shaft
11
7/1/2014 32.2 4
7/2/2014 7.3 8.8
7/8/2014 19.3 41
7/8/2014 58.6 43.9
7/8/2014 -5.8 42.2
7/9/2014 -28 -271
7/10/2014 -27.6 -237
7/11/2014 -36.7 -284
-800
-600
-400
-200
0
200
400
600
800
11/15 11/17 11/19 11/21 11/23 11/25 11/27 11/29 12/1 12/3
Shaft 3 Shaft 13 Shaft 16 Shaft 18 Shaft 20 Shaft 32
-
378
7/15/2014 -14.3 -301
7/22/2014 -24.3 -309
7/25/2014 3.8 -322
Figure 5.62: Test one calibration lines
Table 5.8: Test two calibration data
Shaft #
Date 22 23 1 8 7 11 6 17 19 20 18 16
12/12/2016 86 57 -234 34 71 84 76 37 70
-
122 73 83
12/13/2016 71 45 -238 8 35 58 64 18 46
-
122 55 58
12/14/2016 78 53 -222 72 48 65 73 3 51
-
110 53 65
12/15/2016 67 20 -225 63 59 76 75 -23 47 -76 115 77
12/16/2016 63 35 -218 54 32 56 64 -29 48 -99 54 57
12/16/2016 63 35 -218 54 32 -95 64 -29 48 -99 54 57
12/17/2016 208
14
5 -274
-
109 -46 -108 -143
-
169 -30 -99 100 -117
-350
-300
-250
-200
-150
-100
-50
0
50
100
6/30 7/5 7/10 7/15 7/20 7/25 7/30
Cu/C
uS
O₄
(mV
)
Shaft 7 Shaft 11
-
379
12/18/2016 152
10
9 -254
-
130 -70 -135 -160
-
185 -75
-
109
-
164 -139
12/19/2016 146
10
7 -258
-
146 -98 -173 -163
-
210 -89
-
123
-
181 -152
12/20/2016 142 72 -258
-
148 -110 -182 -165
-
224
-
122
-
129
-
189 -159
12/21/2016 1
10
3 -254
-
148 -115 -175 -160
-
231
-
122
-
123
-
189 -150
Figure 5.63: Test two calibration lines
Table 5.9 Test three calibration data
Date
Shaft
13
Shaft
32
Shaft
16
Shaft
18 Shaft 3
Shaft
20
17-Nov -118 -185 -238 57 70 46
18-Nov -191 -206 -405 60 55 62
19-Nov -180 -194 -257 -33 -238 47
-300
-250
-200
-150
-100
-50
0
50
100
150
12-Dec 13-Dec 14-Dec 15-Dec 16-Dec 17-Dec 18-Dec 19-Dec 20-Dec 21-Dec 22-Dec
Cu/C
uS
O₄
(mV
)
Shaft 1 Shaft 8 Shaft 7 Shaft 11 Shaft 6
Shaft 17 Shaft 19 Shaft 20 Shaft 16
-
380
20-Nov -146 -176 -213 32 -206 69
21-Nov -217 -263 -289 41 -253 63
22-Nov -222 -247 -250 191 -242 56
23-Nov -208 -230 -241 49 -237 60
24-Nov -169 -212 -284 44 36 52
24-Nov 12 -149 -71 89 -191 65
25-Nov -366 -150 -517 -107 -27 -178
26-Nov -508 -397 -469 -264 -219 -154
27-Nov -529 -417 -503 -240 -533 -239
28-Nov -502 -400 -511 -199 -584 -212
29-Nov -457 -406 -503 -191 -587 -158
30-Nov -596 -502 -617 -380 -604 -169
1-Dec -522 -372 -543 -223 -548 -216
Figure 5.64 Test three calibration lines
Linear interpolation was used in order to apply the daily copper-copper sulfate readings to the
more frequent titanium electrode readings:
-700
-600
-500
-400
-300
-200
-100
0
100
200
300
15-Nov 17-Nov 19-Nov 21-Nov 23-Nov 25-Nov 27-Nov 29-Nov 1-Dec 3-Dec
Cu/C
uS
O₄
(mV
)
Shaft 3 Shaft 13 Shaft 16 Shaft 18 Shaft 20 Shaft 32
-
381
c
𝑅 = 𝑅𝑖 + [𝑅𝑓 − 𝑅𝑖] ×𝑡 − 𝑡𝑖𝑡𝑓 − 𝑡𝑖
Wherein:
R = current reading
Ri = initial reading
Rf = final reading
t = current time
ti = initial time
tf = final time
After all of the copper-copper sulfate readings were interpolated, those values were added to the
corresponding reading from the titanium reference electrode, resulting in the corrected potential
reading.
P(t) = M(t) + R’c (t)
P(t) is the corrected potential reading
M(t) titanium reference electrode reading
R’c(ti) is the Cu/CuSO4 reading at the time in question, mV
The resulting corrected graphs show distinct changes in potential at the point of chloride
introduction (Figures 5.65-5.67).
-700.00
-600.00
-500.00
-400.00
-300.00
-200.00
-100.00
0.00
100.00
200.00
7/1/14 7/6/14 7/11/14 7/16/14 7/21/14 7/26/14 7/31/14
Po
tenti
al (
mV
)
Shaft 7 Shaft 11
Add Cl- Solution
-
382
Figure5.65: Test one corrected data
Figure 5.66: Test two corrected data
Figure 5.67: Test three corrected data
-700
-600
-500
-400
-300
-200
-100
0
100
200
300
12/12/16 12/14/16 12/16/16 12/18/16 12/20/16 12/22/16
Po
tenti
al (
mV
)
Shaft 22 Water Shaft 1 B40 Shaft 8 B40 Shaft 7 B30
Shaft 11 P60 Shaft 6 Water Shaft 17 P85 Shaft 19 P60
Shaft 20 P130 Shaft 18 Water Shaft 14 B30 Shaft 16 P85
-800
-600
-400
-200
0
200
400
600
800
11/15/17 11/17/17 11/19/17 11/21/17 11/23/17 11/25/17 11/27/17 11/29/17 12/1/17 12/3/17
Po
ten
tial
(m
V)
Shaft 13 (B30) Shaft 32 (W) Shaft 16 (P85)
Shaft 18 (W) Shaft 3 (B40) Shaft 20 (P130)
Add Cl Solution
Add Cl Solution
-
383
Each of these tests reveals a similar trend wherein the potential becomes more negative after the
introduction of chlorides to the system. These trends are more pronounced in test one and test
three where the tanks were placed directly on top of the visible creases in the shaft surface. This
further reinforces the assertion that the creases are providing direct pathways to the encased
reinforcement system. Furthermore, the drop in potential is more pronounced in samples with a
higher level of trapped slurry induced surface degradation leading to the conclusion that surface
degradation is a valid indicator of probable corrosion.
5.7 Task Summary and Discussion
The goal of this task was to identify the effects of slurry type on the electrochemical properties
of drilled shafts. The premise of this approach was that the issues with concrete flow and surface
degradation addressed in Chapter 3 were negating the corrosion life span and initiation time
calculations customarily applied to reinforced concrete structures. Electrochemical testing
methods were implemented to reveal any indication of premature corrosion in the reinforcement
system.
Initially all preexisting shafts (1-24) were assessed for electrical continuity. This was
accomplished by testing both mutual potential and mutual resistance between each vertical piece
of reinforcing steel. When graphed, the data showed horizontal banding along the x axis between
0 and 5 mV and vertical banding just past 100 W. The area where these bands cross is a
statistically significant zone wherein the use of a single method of continuity assessment is
inconclusive.
A copper-copper sulfate reference electrode was used to collect potential difference data on an
eighty-point grid in order to map changes in potential across a portion of the surface of each
shaft. The corrosion potential surface mapping data was analyzed for each specimen individually.
Statistical methods were used to plot a distribution curve and determine the 50th
percentile
corrosion potential (E50) for every shaft. The E50 values vs slurry viscosity are shown in
Figure 5.69.
-
384
Figure 5.68 Viscosity vs median potential
ASTM C876 states that a potential reading below -350mV ( m o r e n e g a t i v e ) indicates a
90% chance of corrosion, so it is generally used as the threshold for corrosion activity. When
the 50th
percentile corrosion potential is plotted against the slurry viscosity, distinct divisions
become apparent (Figure 5.69); eight of the 14 shafts cast with mineral slurry fell below the
threshold of -350mV. This is a clear indicator that shafts cast using bentonite slurry are more
prone to corrosion than shafts cast using polymer. With a single exception, Polymer shafts
showed no indications of corrosion. Recall that the surface potential measurements were taken
with a freshwater wetted surface and where no chlorides had been introduced. It is likely that in
the presence of chlorides more of the shafts would have crossed the -350mV threshold.
Tanks were attached to the surfaces of select shafts in order to test the open-cell potential. Three
separate sets of tests were performed. At the midway point in each set the water in the tanks was
replaced with an electrolyte solution. The tanks that were placed over visible creases in the shaft
surface showed a nearly immediate drop in potential after the electrolyte was introduced,
indicating a direct path to the reinforcing steel. The most extreme reactions came from the shafts
with the worst surface conditions, further supporting the assertion that surface degradation can be
an indicator of corrosion potential in a reinforced concrete system.
In summary, there are several observations that can be made from this task:
When establishing electrical continuity, both potential and resistance measurements must be
taken.
Shafts constructed using polymer slurry or water showed low propensity for corrosion
Shafts constructed using mineral slurry show a higher propensity for corrosion as a rule
Surface creasing and degradation is indicative of a cover region that does not insulate reinforcing
steel
It should be noted here that this comes down to the difference between capillary transport due to
degradation in the concrete material and accelerated surface transport due to creasing. Increased
0
20
40
60
80
100
120
140
-700-600-500-400-300-200-1000
Vis
cost
iy (
sec)
E50 (mV) Bentonite Polymer Water Attapulgite
Corrosion potential
threshold
-
385
concrete durability may be a solution to the former whereas additional information in regards to
concrete rheology is needed to improve upon the latter.
5.8 Continued Efforts
Electrochemical testing has been completed for the 24 pre-existing shaft specimens. Surface
potential measurements have been completed on 12 newly cast shafts. These readings will serve
as a baseline and the tests will be repeated periodically to monitor any changes in potential that
may develop as the shafts age. Six more SCC shafts were cast during the first week in December
using a different concrete supplier, and 12 more SCC shafts are planned for construction later
this winter. All of these shafts will be tested electrochemically to bolster the data with the
expectation that the noted trends will be confirmed.
Quotes from commercial diving / construction firms are being sought for the removal of casing
on several bentonite, attapulgite, and water-cast shaft-supported bridges.
-
386
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University of Delft.
Wallevik, O. H. “Rheology – A Scientific Approach to Develop Self-Compacting
Concrete,” Proceedings of the 3rd
International RILEM Symposium on Self-Compacting
Concrete, 2003, pp. 23 – 31.
Wallevik, O. H., 2011. “Rheology – My way of Life”, 36th
Conference on Our World in
Concrete and Structures, Singapore, August 14-16, 2011.
Wallevik, J.E. “Rheology of Particle suspensions, Fresh Concrete, Mortar, and cement paste
with various Lignosulfonates”. The Norwegian University of Science and Technology,
Trondheim, 2003.
Yang, Frances, “Self-Consolidating Concrete”, CE 241: Concrete Technology Spring 2004.
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393
Yavuz, Hasan, “Effects of Thixotropy on Self Consolidating Concrete surface properties”.
Master’s Thesis, 2012, Civil Engineering, Izmir Institute of Technology.
Zhuguo, Li, Taka-aki Ohkubo, and Yasuo Tanigawa, “Flow Performance of High Fluidity
Concrete”, Journal of Materials in Civil Engineering, Vol. 16, No. 6, December 1, 2004.
Zhuguo, Li, Taka-aki Ohkubo, and Yasuo Tanigawa . “Yield Model of High Fluidity
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2004.
Zhuguo, Li, “State of workability design technology for fresh concrete in Japan”, Journal of
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https://www.google.com time vs. apparent viscosity curve for thixotropic and rheopectic
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http://www.theconcreteportal.com/rheology.html.
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http://water.sam.usace.army.mil/acfframe.htm
http://uglybridges.com
APPENDIX A
SURFACE POTENTIAL MAPPING RAW DATA & STATISTICAL DISTRIBUTION
Table A-1: Shaft 1 Surface Potential Mapping Raw Data (mV)
0"` 3" 6" 9" 12" 15" 18" 21"
0" -266 -289 -333 -337 -313 -298 -296 -289
3" -279 -292 -316 -317 -311 -301 -300 -293
6" -290 -302 -312 -312 -308 -306 -307 -303
http://www.theconcreteportal.com/rheology.htmlhttp://www.selfconsolidatingconcrete.org/
-
9" -290 -308 -315 -312 -309 -310 -308 -307
12" -307 -316 -315 -318 -317 -314 -311 -302
15" -309 -317 -319 -325 -324 -322 -320 -311
18" -314 -323 -324 -332 -330 -328 -327 -320
21" -323 -330 -330 -338 -338 -342 -331 -322
24" -327 -330 -338 -344 -345 -348 -337 -329
27" -328 -333 -338 -344 -347 -349 -338 -337
Figure A-1: Shaft 1 Surface Potential Mapping Data Distribution
Table A-2: Shaft 2 Surface Potential Mapping Raw Data (mV)
0” 3” 6” 9” 12” 15” 18” 21”
0” -384 -387 -406 -421 -434 -438 -431 -411
3” -402 -398 -416 -431 -454 -456 -446 -434
6” -400 -403 -420 -442 -460 -464 -461 -454
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing Shaft 1
-
9” -392 -408 -430 -452 -466 -474 -472 -465
12” -402 -417 -447 -463 -476 -470 -462 -459
15” -402 -416 -445 -463 -474 -478 -463 -462
18” -395 -410 -460 -468 -482 -477 -458 -449
21” -396 -404 -466 -483 -492 -485 -469 -449
24” -389 -400 -444 -470 -481 -472 -461 -440
27” -390 -398 -428 -467 -472 -472 -461 -447
Figure A-2: Shaft 2 Surface Potential Mapping Data Distribution
Table A-3: Shaft 3 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -372 -382 -389 -390 -396 -396 -384 -379
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing Shaft 2
-
3" -373 -378 -381 -382 -393 -386 -381 -378
6" -374 -374 -377 -377 -379 -380 -373 -379
9" -376 -368 -372 -359 -361 -360 -363 -379
12" -370 -364 -369 -352 -351 -353 -351 -369
15" -374 -366 -360 -350 -349 -353 -346 -361
18" -377 -360 -364 -352 -356 -355 -355 -354
21" -379 -361 -380 -359 -364 -367 -370 -378
24" -379 -367 -378 -368 -368 -380 -382 -383
27" -373 -367 -374 -376 -376 -378 -381 -388
Figure A-3: Shaft 3 Surface Potential Mapping Data Distribution
Table A-4: Shaft 4 Surface Potential Mapping Raw Data (mV)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing Shaft 3
-
0" 3" 6" 9" 12" 15" 18" 21"
0" -411 -441 -447 -462 -472 -454 -437 -425
3" -443 -453 -463 -472 -453 -433 -423
6" -442 -444 -447 -467 -473 -459 -434 -419
9" -429 -434 -439 -463 -474 -458 -427 -415
12" -427 -435 -458 -470 -458 -433 -409
15" -429 -435 -454 -461 -450 -437 -414
18" -425 -426 -444 -458 -473 -459 -445 -433
21" -413 -425 -437 -470 -471 -461 -451 -439
24" -420 -422 -430 -452 -466 -458 -449 -439
27" -418 -417 -423 -449 -459 -463 -451 -443
Figure A-4: Shaft 4 Surface Potential Mapping Data Distribution
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing Shaft 4
-
Table A-5: Shaft 5 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -400 -408 -425 -447 -469 -482 -484 -475
3" -408 -413 -428 -456 -476 -489 -494 -489
6" -413 -416 -432 -460 -473 -482 -492 -485
9" -413 -415 -433 -457 -466 -467 -470 -464
12" -407 -402 -422 -450 -459 -465 -463 -455
15" -390 -402 -416 -440 -441 -445 -459 -449
18" -394 -402 -413 -433 -433 -435 -437 -426
21" -392 -407 -416 -441 -448 -450 -457 -450
24" -401 -416 -435 -452 -457 -469 -469 -469
27" -412 -420 -432 -450 -460 -465 -469 -457
Figure A-5: Shaft 5 Surface Potential Mapping Data Distribution
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing Shaft 5
-
Table A-6: Shaft 6 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -160 -148 -144 -139 -129 -131 -141 -155
3" -168 -157 -143 -135 -130 -131 -141 -153
6" -170 -163 -158 -147 -136 -138 -138 -142
9" -168 -161 -153 -140 -128 -127 -140 -144
12" -169 -161 -155 -145 -134 -129 -141 -146
15" -170 -164 -157 -130 -142 -139 -143 -152
18" -172 -167 -163 -136 -148 -149 -150 -152
21" -174 -172 -166 -159 -155 -156 -156 -153
24" -174 -174 -167 -168 -156 -159 -159 -160
27" -176 -174 -161 -165 -159 -161 -161 -157
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing Shaft 6
-
Figure A-6: Shaft 6 Surface Potential Mapping Data Distribution
Table A-7: Shaft 7 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -331 -331 -329 -338 -344 -350 -361 -361
3" -339 -340 -339 -343 -345 -354 -372 -382
6" -340 -346 -345 -348 -351 -366 -386 -402
9" -352 -352 -354 -356 -361 -375 -398 -409
12" -357 -358 -362 -364 -380 -398 -419 -422
15" -354 -363 -373 -376 -398 -421 -444 -437
18" -365 -364 -374 -383 -399 -430 -468 -454
21" -364 -368 -377 -393 -400 -436 -462 -475
24" -366 -369 -378 -395 -416 -436 -459 -466
27" -364 -363 -378 -393 -415 -442 -458 -480
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing Shaft 7
-
Figure A-7: Shaft 7 Surface Potential Mapping Data Distribution
Table A-8: Shaft 8 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -239 -243 -234 -233 -215 -211 -210 -215
3" -233 -241 -237 -236 -218 -213 -220 -216
6" -223 -221 -237 -235 -222 -213 -216 -209
9" -226 -232 -235 -225 -213 -209 -208 -209
12" -234 -235 -231 -227 -218 -217 -214 -212
15" -255 -247 -239 -234 -226 -227 -229 -225
18" -251 -238 -232 -227 -223 -212 -227 -219
21" -245 -242 -236 -233 -223 -216 -215 -216
24" -243 -238 -234 -230 -215 -214 -218 -223
27" -240 -239 -233 -224 -219 -211 -209 -216
-
Figure A-8: Shaft 8 Surface Potential Mapping Data Distribution
Table A-9: Shaft 9 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -362 -364 -372 -381 -391 -410 -423 -424
3" -356 -364 -368 -373 -385 -402 -420 -418
6" -359 -359 -367 -383 -393 -413 -427 -430
9" -362 -367 -370 -384 -397 -416 -427 -423
12" -363 -366 -373 -382 -400 -415 -425 -419
15" -372 -371 -375 -385 -399 -416 -421 -417
18" -371 -372 -375 -379 -392 -403 -409 -410
21" -365 -366 -367 -373 -392 -392 -396 -404
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing Shaft 8
-
24" -363 -365 -368 -375 -387 -387 -390 -396
27" -357 -356 -366 -369 -383 -383 -387 -389
Figure A-9: Shaft 9 Surface Potential Mapping Data Distribution
Table A-10: Shaft 11 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -263 -271 -268 -267 -266 -265 -266 -258
3" -264 -273 -272 -274 -272 -274 -271 -260
6" -269 -278 -280 -281 -280 -287 -283 -266
9" -272 -282 -283 -287 -287 -291 -282 -269
12" -273 -283 -287 -288 -287 -285 -280 -273
15" -285 -295 -292 -295 -290 -290 -293 -274
18" -289 -299 -298 -298 -293 -3030 -293 -271
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing Shaft 9
-
21" -297 -299 -296 -290 -287 -286 -287 -268
24" -299 -312 -310 -308 -296 -297 -285 -278
27" -305 -318 -322 -326 -291 -297 -289 -278
Figure A-10: Shaft 11 Surface Potential Mapping Data Distribution
Table A-11: Shaft 12 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -184 -188 -181 -176 -173 -174 -175 -170
3" -195 -201 -189 -186 -181 -176 -175 -173
6" -196 -201 -197 -191 -179 -172 -171 -168
9" -204 -210 -200 -190 -179 -174 -170 -170
12" -225 -217 -201 -193 -185 -179 -171 -170
15" -220 -220 -206 -193 -191 -178 -176 -172
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing 11
-
18" -226 -222 -210 -206 -199 -187 -183 -187
21" -220 -220 -213 -205 -195 -189 -185 -185
24" -219 -221 -212 -204 -206 -186 -188 -181
27" -218 -221 -212 -206 -199 -192 -186 -187
Figure A-11: Shaft 12 Surface Potential Mapping Data Distribution
Table A-12: Shaft 13 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -306 -300 -291 -288 -286 -285 -285 -289
3" -305 -298 -291 -291 -290 -285 -286 -286
6" -305 -299 -294 -289 -286 -284 -287 -285
9" -303 -297 -293 -290 -285 -286 -285 -284
12" -304 -299 -294 -291 -286 -285 -282 -282
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing 12
-
15" -307 -300 -296 -291 -285 -281 -280 -278
18" -303 -302 -294 -290 -286 -283 -278 -278
21" -297 -300 -300 -293 -288 -286 -283 -277
24" -309 -302 -302 -293 -290 -288 -284 -280
27" -310 -306 -301 -293 -289 -285 -283 -278
Figure A-12: Shaft 13 Surface Potential Mapping Data Distribution
Table A-13: Shaft 14 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -315 -300 -291 -282 -273 -248 -255 -263
3" -307 -296 -292 -284 -235 -214 -230 -251
6" -298 -299 -294 -289 -280 -243 -245 -268
9" -300 -294 -291 -285 -280 -276 -253 -281
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing 13
-
12" -298 -293 -288 -285 -285 -280 -270 -268
15" -302 -295 -288 -284 -281 -281 -275 -279
18" -297 -293 -289 -284 -279 -277 -276 -278
21" -300 -296 -291 -284 -278 -276 -276 -277
24" -301 -297 -291 -283 -274 -262 -262 -270
27" -304 -298 -294 -286 -277 -270 -267 -273
Figure A-13: Shaft 14 Surface Potential Mapping Data Distribution
Table A-14: Shaft 15 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0"
-349 -350 -351 -340 -339 -347
3"
-339 -345 -340 -338 -338 -341
6"
-337 -336 -338 -340 -330 -335 -336
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing 14
-
9"
-335 -334 -333 -327 -328 -331 -334
12"
-330 -330 -327 -327 -329 -334
15"
-332 -337 -331 -328 -330 -332 -336
18"
-337 -336 -335 -332 -331 -334 -337
21"
-344 -336 -335 -328 -327 -333 -339
24"
-349 -348 -341 -338 -332 -337 -341
27" -362 -357 -344 -341 -337 -333 -336 -337
Figure A-14: Shaft 15 Surface Potential Mapping Data Distribution
Table A-15: Shaft 16 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -291 -278 -271 -266 -259 -256 -261 -251
3" -298 -287 -279 -275 -269 -266 -271 -262
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing 15
-
6" -298 -294 -286 -278 -272 -271 -270 -264
9" -292 -290 -283 -276 -277 -275 -271 -265
12" -293 -290 -284 -274 -270 -273 -275 -269
15" -292 -291 -289 -279 -278 -280 -278 -271
18" -293 -288 -284 -278 -275 -278 -282 -275
21" -292 -290 -285 -283 -279 -279 -284 -279
24" -293 -290 -289 -283 -280 -283 -284 -283
27" -289 -288 -286 -282 -280 -281 -286 -286
Figure A-15: Shaft 16 Surface Potential Mapping Data Distribution
Table A-16: Shaft 17 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -309 -303 -301 -301 -299 -305 -304 -304
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing 16
-
3" -306 -306 -303 -303 -302 -299 -303 -301
6" -309 -307 -303 -308 -304 -299 -298 -300
9" -306 -305 -302 -299 -293 -291 -294 -293
12" -312 -310 -304 -298 -298 -292 -296 -290
15" -319 -312 -304 -303 -298 -295 -295 -288
18" -322 -311 -302 -296 -293 -290 -291 -288
21" -319 -310 -301 -300 -292 -288 -287 -285
24" -311 -310 -302 -297 -291 -287 -285 -286
27" -305 -306 -297 -295 -290 -286 -285 -280
Figure A-16: Shaft 17 Surface Potential Mapping Data Distribution
Table A-17: Shaft 18 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing 17
-
0" -301 -304 -291 -291 -284 -295 -300 -302
3" -300 -302 -290 -285 -282 -290 -299 -307
6" -299 -303 -291 -284 -282 -292 -299 -306
9" -294 -297 -290 -286 -284 -293 -299 -304
12" -295 -293 -285 -281 -283 -290 -293 -300
15" -296 -298 -285 -282 -285 -291 -291 -298
18" -296 -296 -288 -283 -292 -293 -295 -292
21" -301 -297 -291 -288 -294 -293 -297 -303
24" -302 -298 -291 -290 -293 -287 -294 -297
27" -299 -297 -291 -297 -302 -295 -297 -301
Figure A-17: Shaft 18 Surface Potential Mapping Data Distribution
Table A-18: Shaft 19 Surface Potential Mapping Raw Data (mV)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing 18
-
0" 3" 6" 9" 12" 15" 18" 21"
0" -243 -238 -234 -231 -230 -225 -229 -234
3" -242 -242 -238 -234 -235 -230 -234 -240
6" -246 -246 -238 -235 -231 -235 -241 -247
9" -256 -250 -242 -234 -235 -238 -243 -255
12" -258 -251 -241 -232 -230 -235 -248 -265
15" -265 -259 -249 -243 -238 -240 -248 -259
18" -263 -258 -247 -243 -240 -241 -245 -249
21" -260 -258 -250 -243 -244 -243 -246 -245
24" -268 -263 -255 -247 -244 -245 -248 -249
27" -275 -263 -250 -242 -240 -239 -246 -252
Figure A-18: Shaft 19 Surface Potential Mapping Data Distribution
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing 19
-
Table A-19: Shaft 20 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -239 -234 -225 -231 -235 -238 -243 -235
3" -222 -231 -231 -231 -236 -236 -244 -247
6" -239 -236 -235 -238 -239 -239 -241 -237
9" -233 -233 -240 -241 -242 -242 -238 -242
12" -241 -242 -241 -241 -242 -242 -242 -245
15" -248 -244 -248 -245 -239 -239 -242 -243
18" -253 -250 -251 -245 -245 -245 -242 -241
21" -253 -252 -251 -246 -246 -246 -254 -245
24" -251 -253 -250 -247 -247 -247 -250 -250
27" -259 -259 -254 -253 -255 -255 -251 -249
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing 20
-
Figure A-19: Shaft 20 Surface Potential Mapping Data Distribution
Table A-20: Shaft 21 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -491 -492 -495 -518 -552 -534 -548 -596
3" -482 -489 -489 -493 -533 -524 -527 -500
6" -480 -481 -489 -484 -508 -493 -509 -495
9" -491 -489 -488 -497 -522 -493 -516 -502
12" -485 -464 -488 -486 -511 -501 -522 -506
15" -495 -494 -488 -492 -496 -494 -502 -511
18" -500 -497 -508 -513 -536 -524 -529 -524
21" -504 -505 -516 -528 -560 -538 -539 -516
24" -508 -503 -508 -522 -540 -547 -556 -520
27" -510 -510 -536 -538 -573 -558 -564 -542
-
Figure A-20: Shaft 21 Surface Potential Mapping Data Distribution
Table A-21: Shaft 22 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -268 -264 -248 -244 -243 -236 -230 -243
3" -265 -273 -255 -247 -237 -237 -241 -248
6" -281 -277 -268 -254 -244 -240 -248 -251
9" -272 -281 -276 -261 -255 -252 -248 -250
12" -263 -272 -261 -246 -238 -238 -237 -239
15" -257 -259 -248 -240 -236 -234 -241 -246
18" -261 -260 -247 -237 -237 -239 -244 -252
21" -277 -278 -262 -249 -245 -247 -256 -269
24" -279 -279 -266 -249 -245 -251 -259 -277
27" -280 -279 -265 -250 246 -249 -256 -268
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing 21
-
Figure A-21: Shaft 22 Surface Potential Mapping Data Distribution
Table A-22: Shaft 23 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -273 -265 -264 -260 -258 -262 -263 -269
3" -276 -263 -263 -260 -258 -262 -268 -273
6" -272 -262 -263 -257 -258 -263 -270 -260
9" -271 -260 -261 -255 -255 -282 -269 -261
12" -271 -259 -258 -254 -253 -283 -271 -260
15" -266 -256 -251 -248 -252 -255 -264 -277
18" -265 -255 -253 -247 -249 -250 -258 -269
21" -261 -254 -246 -243 -242 -246 -250 -257
24" -261 -252 -246 -241 -236 -241 -245 -254
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0 100 200 300
%
Potential Difference (mV)
CuCuSO4 Grid Testing 22
-
27" -261 -254 -246 -237 -233 -238 -243 -250
Figure A-22: Shaft 23 Surface Potential Mapping Data Distribution
Table A-23: Shaft 24 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -450 -453 -449 -452 -464 -446 -413 -393
3" -439 -447 -443 -445 -456 -441 -410 -394
6" -436 -443 -441 -430 -464 -443 -416 -400
9" -433 -441 -442 -442 -469 -455 -425 -404
12" -429 -436 -438 -444 -464 -454 -423 -404
15" -423 -429 -437 -444 -465 -456 -424 -407
18" -414 -421 -425 -434 -454 -433 -414 -403
21" -411 -412 -421 -425 -437 -422 -398 -394
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
Shaft 23
-
24" -410 -408 -408 -408 -412 -401 -390 -389
27" -404 -399 -395 -405 -403 -395 -389 -384
Figure A-23: Shaft 24 Surface Potential Mapping Data Distribution
Table A-24: Shaft 25 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -398 -408 -409 -422 -421 -416 -412 -406
3" -403 -409 -407 -422 -419 -421 -410 -410
6" -413 -408 -406 -422 -418 -419 -410 -412
9" -420 -410 -403 -423 -417 -419 -407 -410
12" -431 -421 -415 -414 -416 -424 -411 -408
15" -443 -430 -419 -414 -414 -418 -412 -406
18" -455 -449 -435 -406 -415 -414 -418 -402
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSo4 Grid Testing Shaft 24
-
21" -463 -451 -438 -407 -417 -419 -415 -404
24" -472 -458 -438 -409 -418 -419 -413 -404
27" -472 -456 -438 -411 -416 -415 -407 -409
Figure A-24: Shaft 25 Surface Potential Mapping Data Distribution
Table A-25: Shaft 26 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -341 -328 -308 -293 -292 -304 -335 -367
3" -339 -326 -305 -291 -290 -304 -329 -359
6" -344 -325 -305 -291 -288 -299 -325 -350
9" -344 -330 -310 -291 -289 -299 -321 -349
12" -351 -334 -314 -298 -292 -300 -322 -349
15" -363 -346 -321 -307 -301 -308 -325 -353
18" -373 -353 -335 -313 -305 -309 -329 -360
-20%
0%
20%
40%
60%
80%
100%
-600 -500 -400 -300 -200 -100 0
%
Potential Difference (mV)
CuCuSO4 Grid Testing Shaft 25
-
21" -383 -367 -342 -321 -310 -318 -335 -363
24" -397 -379 -350 -336 -314 -319 -337 -369
27" -403 -382 -355 -327 -315 -318 -341 -368
Figure A-25: Shaft 26 Surface Potential Mapping Data Distribution
Table A-26: Shaft 27 Surface Potential Mapping Raw Data (mV)
0" 3" 6" 9" 12" 15" 18" 21"
0" -222 -232 -237 -244 -254 -259 -265 -292
3" -224 -232 -231 -241 -255 -263 -2